{"id":"W2752071614","doi":"10.1093/nar/gkx751","title":"Functional 5′ UTR motif discovery with LESMoN: Local Enrichment of Sequence Motifs in biological Networks","year":2017,"lang":"en","type":"article","venue":"Nucleic Acids Research","topic":"Bioinformatics and Genomic Networks","field":"Biochemistry, Genetics and Molecular Biology","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Montreal Clinical Research Institute; McGill University; University of Ottawa","funders":"","keywords":"Biology; Sequence motif; Computational biology; Structural motif; Untranslated region; Motif (music); Gene; Genetics; Three prime untranslated region; Sequence (biology); Conserved sequence; Biological network; Gene ontology; Peptide sequence; Gene expression; Messenger RNA; Biochemistry","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006413871,0.0004443831,0.0004856645,0.002245649,0.0003649364,0.0006282332,0.0004888314,0.0003827742,0.00164428],"category_scores_gemma":[0.002104344,0.000198083,0.0004562515,0.001173047,0.0003060837,0.000613649,0.0007380247,0.0004211267,0.000346303],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003287187,"about_ca_system_score_gemma":0.0003886835,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009839652,"about_ca_topic_score_gemma":0.002952391,"domain_scores_codex":[0.9996907,0.00009525922,0.00001771394,0.00009345052,0.00006412697,0.00003881342],"domain_scores_gemma":[0.9993348,0.0003046027,0.0001492156,0.00008597763,0.00006015513,0.00006526465],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001808858,0.0005376408,0.1100845,0.001000172,0.0007255925,0.001482582,0.0007322437,0.1006769,0.3705983,0.01978887,0.008554434,0.3840099],"study_design_scores_gemma":[0.00006175313,0.0002052365,0.02763825,0.00003499856,0.00009869816,0.0009120734,0.0001503434,0.9063664,0.04519285,0.01352863,0.005765815,0.00004490335],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.4219741,0.0008643778,0.5657938,0.0002036293,0.00002962166,0.0001213395,0.002301268,0.006972608,0.001739299],"genre_scores_gemma":[0.7175865,0.0002328077,0.2775944,0.00009175006,0.00002326138,0.0001431899,0.003132776,0.0002151063,0.0009801351],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.002245649,"threshold_uncertainty_score":0.005500674,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05752355849153183,"score_gpt":0.3173963587475853,"score_spread":0.2598728002560535,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}